How can LLMs better manage knowledge for efficient planning?
Agentic Knowledgeable Self-awareness
This paper introduces "agentic knowledgeable self-awareness," the ability of an LLM-based agent to recognize when it needs external knowledge or self-reflection to solve a task rather than blindly applying knowledge or following learned patterns. The proposed KnowSelf method trains agents to categorize situations into "fast thinking," "slow thinking," and "knowledgeable thinking" using special tokens and a two-stage training process. This allows agents to dynamically decide when to use knowledge, reflect, or act directly, leading to more efficient and generalizable planning. Key points for LLM-based multi-agent systems include: a focus on situational awareness rather than static knowledge, dynamic knowledge utilization based on agent needs, and improved performance and generalization compared to always using knowledge or reflection.